Dual-Agent Molecular Targeting of the ErbB2 Receptor: Killing One Bird With Two Stones
Notice bibliographique
Résumé
The phase I study by Storniolo et al in this issue of Journal of Clinical Oncology, which evaluates the combination of lapatinib (a selective small-molecule ErbB1 and ErbB2 tyrosine kinase inhibitor) and trastuzumab (an antibody blocking the extracellular domain of ErbB2) in patients with advanced ErbB2-positive breast cancer, is the first published study to our knowledge examining dual-agent molecular targeting of the ErbB2 receptor. The study demonstrated that there was clinical activity in a group of heavily pretreated patients and—using a toxicity end point—determined an optimally tolerated regimen for this combination of agents. The epidermal growth factor family of receptors plays a key role in regulating growth, survival, and resistance to chemotherapy in many epithelial malignancies. Approximately 25% of breast cancers overexpress ErbB2 or demonstrate ErbB2 gene amplification; ErbB2 is a key mediator of tumor cell growth and survival, and a predictor of poor outcome. Potential strategies to block peptide growth factor signaling pathways include (1) blocking or neutralizing the growth factor or its production, (2) blocking the receptor-binding site or prevention of receptor dimerization, (3) blocking the receptor tyrosine kinase domain, and (4) blocking downstream signaling pathways. The mechanism of action of trastuzumab is multifactorial and includes (1) antibody-dependent cellular cytotoxity, (2) modulation of ErbB2 signaling, (3) internalization of ErbB2 cell-surface protein, (4) reduction in proteolytic cleavage of the ErbB2 extracellular domain, and (5) interference with DNA damage repair. Small-molecule inhibitors such as lapatinib have an advantage over antibodies because they inhibit multiple signaling pathways at plasma concentrations achieved in the clinic. This is relevant because the survival of epithelial tumors is often dependent on the presence of redundant signaling pathways. Combining anti-ErbB2 antibodies with small-molecule tyrosine kinase inhibitors is an appealing strategy because both therapies exert their antitumor effects via distinct mechanisms of action and target ErbB2 at different sites. Combining distinct classes of inhibitors may not only potentiate cellular cytotoxicity, but may also assist in overcoming inherent or acquired resistance to one class of inhibitors. Mechanisms of resistance identified to date include activating mutations in the domain of the adenosine triphosphate–binding pocket for small-molecule tyrosine kinase inhibitors and the presence of truncated receptors for monoclonal antibodies. Dual-agent molecular targeting has been examined in preclinical models using the ErbB1 pathway as well as the ErbB2 pathway. With respect to the ErbB1 pathway, Huang et al and Matar et al studied the effect of cetuximab (an antibody that binds to the extracellular domain of ErbB1) in combination with either gefitinib or erlotinib (small-molecule inhibitors of the tyrosine kinase domain or ErbB1) against a panel of human cancer cell lines in culture and in tumor xenografts. The combination of cetuximab plus gefitinib or erlotinib enhances growth inhibition, in culture and in vivo, over that observed with either agent alone. Phosphorylation inhibition of downstream effector molecules (mitogen-activated protein kinase and AKT), and apoptosis was enhanced with the combination. In lung and head and neck tumor cells highly resistant to cetuximab, gefitinib, and erlotinib, but not cetuximab, retained the capacity to inhibit these tumor cells and were also able to further inhibit the activation of downstream effectors of ErbB1 signaling. When tested in vivo, single-agent therapy resulted in transient tumor regression only at the highest doses, whereas suboptimal doses of gefitinib and cetuximab in combination resulted in complete and permanent regression of large tumors. Contradictory results were obtained by Fishel et al who determined that gefitinib and cetuximab, when used in combination, were antagonistic when tested against two ErbB1expressing epidermoid cell lines. The combination caused less apoptosis than gefitinib alone, and this appeared to be the result of overexpression of functional ErbB1 associated with the combination. It is likely that these discordant results were a result of the particular cell lines studied. Most relevant to the study being reviewed are the preclinical models examining dual targeting of the ErbB2 pathway. Xia et al treated ErbB2-overexpressing breast cancer cell lines with a combination of lapatinib and either trastuzumab or a polyclonal anti-ErbB2 antibody. The combination treatments led to enhanced tumor cell apoptosis, whereas treatment with the same doses of lapatinib, trastuzumab, or polyclonal anti-ErbB2 antibody alone led to minimal or no increase in apoptosis. They demonstrated that the enhanced tumor cell apoptosis after combination ErbB2-targeted therapies was most closely associated with downregulation of survivin protein. Konecny et al studied the combination of lapatinib and trastuzumab in a panel of human breast cancer cell lines. Synergistic activity was seen when the combination was tested in ErbB2-overexpressing cell lines. Of JOURNAL OF CLINICAL ONCOLOGY E D I T O R I A L VOLUME 26 NUMBER 20 JULY 1
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».